sl-bigquery-mcp is an open-source Python package that implements a Model Context Protocol (MCP) server for accessing Google BigQuery. It allows developers to integrate BigQuery data access into their MCP-compatible workflows and tools. Suitable for developers needing programmatic BigQuery access.
sl-bigquery-mcp is an Infrastructure & Backend project. Enabling developers to access and manage BigQuery data via the Model Context Protocol (MCP). It is built as an open-source project for python developers working with BigQuery and MCP integrations. sl-bigquery-mcp is open source under the MIT license. It ships for the command line, and it can be self-hosted.
SnowLeopard-AI builds and maintains sl-bigquery-mcp, and it first shipped in 2025. The project is developed in the open on GitHub with 10 stars. Key capabilities include bigQuery access, MCP server, and python package. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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